Title |
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 Information-Theoretic Generalization Bounds for Deep Neural NetworksIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2024 |
 A unified framework for information-theoretic generalization boundsNeural Information Processing Systems (NeurIPS), 2023 |
 Generalization Bounds with Data-dependent Fractal DimensionsInternational Conference on Machine Learning (ICML), 2023 |
 Tighter Information-Theoretic Generalization Bounds from SupersamplesInternational Conference on Machine Learning (ICML), 2023 |
 An Entropy-Based Model for Hierarchical LearningJournal of machine learning research (JMLR), 2022 |
 Generalisation under gradient descent via deterministic PAC-BayesInternational Conference on Algorithmic Learning Theory (ALT), 2022 |
 Understanding Generalization via Leave-One-Out Conditional Mutual
InformationInternational Symposium on Information Theory (ISIT), 2022 |
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